Literature DB >> 24136600

Massively parallel RNA chemical mapping with a reduced bias MAP-seq protocol.

Matthew G Seetin1, Wipapat Kladwang, John P Bida, Rhiju Das.   

Abstract

Chemical mapping methods probe RNA structure by revealing and leveraging correlations of a nucleotide's structural accessibility or flexibility with its reactivity to various chemical probes. Pioneering work by Lucks and colleagues has expanded this method to probe hundreds of molecules at once on an Illumina sequencing platform, obviating the use of slab gels or capillary electrophoresis on one molecule at a time. Here, we describe optimizations to this method from our lab, resulting in the MAP-seq protocol (Multiplexed Accessibility Probing read out through sequencing), version 1.0. The protocol permits the quantitative probing of thousands of RNAs at once, by several chemical modification reagents, on the time scale of a day using a tabletop Illumina machine. This method and a software package MAPseeker ( http://simtk.org/home/map_seeker ) address several potential sources of bias, by eliminating PCR steps, improving ligation efficiencies of ssDNA adapters, and avoiding problematic heuristics in prior algorithms. We hope that the step-by-step description of MAP-seq 1.0 will help other RNA mapping laboratories to transition from electrophoretic to next-generation sequencing methods and to further reduce the turnaround time and any remaining biases of the protocol.

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Substances:

Year:  2014        PMID: 24136600     DOI: 10.1007/978-1-62703-667-2_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  26 in total

1.  Comparative and integrative analysis of RNA structural profiling data: current practices and emerging questions.

Authors:  Krishna Choudhary; Fei Deng; Sharon Aviran
Journal:  Quant Biol       Date:  2017-03-30

2.  Consistent global structures of complex RNA states through multidimensional chemical mapping.

Authors:  Clarence Yu Cheng; Fang-Chieh Chou; Wipapat Kladwang; Siqi Tian; Pablo Cordero; Rhiju Das
Journal:  Elife       Date:  2015-06-02       Impact factor: 8.140

3.  RNA design rules from a massive open laboratory.

Authors:  Jeehyung Lee; Wipapat Kladwang; Minjae Lee; Daniel Cantu; Martin Azizyan; Hanjoo Kim; Alex Limpaecher; Sungroh Yoon; Adrien Treuille; Rhiju Das
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-27       Impact factor: 11.205

Review 4.  Insights into RNA structure and function from genome-wide studies.

Authors:  Stefanie A Mortimer; Mary Anne Kidwell; Jennifer A Doudna
Journal:  Nat Rev Genet       Date:  2014-05-13       Impact factor: 53.242

5.  Guidelines for SHAPE Reagent Choice and Detection Strategy for RNA Structure Probing Studies.

Authors:  Steven Busan; Chase A Weidmann; Arnab Sengupta; Kevin M Weeks
Journal:  Biochemistry       Date:  2019-05-30       Impact factor: 3.162

6.  Metrics for rapid quality control in RNA structure probing experiments.

Authors:  Krishna Choudhary; Nathan P Shih; Fei Deng; Mirko Ledda; Bo Li; Sharon Aviran
Journal:  Bioinformatics       Date:  2016-08-06       Impact factor: 6.937

Review 7.  Computational analysis of RNA structures with chemical probing data.

Authors:  Ping Ge; Shaojie Zhang
Journal:  Methods       Date:  2015-02-14       Impact factor: 3.608

8.  Anomalous Reverse Transcription through Chemical Modifications in Polyadenosine Stretches.

Authors:  Wipapat Kladwang; Ved V Topkar; Bei Liu; Ramya Rangan; Tracy L Hodges; Sarah C Keane; Hashim Al-Hashimi; Rhiju Das
Journal:  Biochemistry       Date:  2020-06-01       Impact factor: 3.162

9.  RNA structure inference through chemical mapping after accidental or intentional mutations.

Authors:  Clarence Y Cheng; Wipapat Kladwang; Joseph D Yesselman; Rhiju Das
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-29       Impact factor: 11.205

10.  Characterizing RNA structures in vitro and in vivo with selective 2'-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq).

Authors:  Kyle E Watters; Angela M Yu; Eric J Strobel; Alex H Settle; Julius B Lucks
Journal:  Methods       Date:  2016-04-12       Impact factor: 3.608

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